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Title: Projection-Based Constrained State Estimation and Fusion for Tracking Over Long-Haul Links

Abstract

In many mission-critical systems, a number of sensors are deployed to track ground targets with linear or nonlinear constraints on their motion dynamics. These sensors generate state estimates to be sent over long-haul links to a remote fusion center. We propose closed-form projection-based methods to incorporate known constraints into the estimation and fusion process. The extensive performance evaluation results demonstrate the extent to which projection-based fusion can improve the overall tracking accuracy performance in the presence of communication loss and delay.

Authors:
ORCiD logo;
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI Identifier:
1501716
Alternate Identifier(s):
OSTI ID: 1501717; OSTI ID: 1607002
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Published Article
Journal Name:
IEEE Access
Additional Journal Information:
Journal Name: IEEE Access Journal Volume: 7; Journal ID: ISSN 2169-3536
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; sensor networks; long-haul links; state estimation and fusion; error covariance matrix; straight-line constraint; circular constraint; elliptical constraint; centralized projection; distributed projection; prediction; root-mean-square-error performance

Citation Formats

Liu, Qiang, and Rao, Nageswara S. V. Projection-Based Constrained State Estimation and Fusion for Tracking Over Long-Haul Links. United States: N. p., 2019. Web. doi:10.1109/ACCESS.2019.2900803.
Liu, Qiang, & Rao, Nageswara S. V. Projection-Based Constrained State Estimation and Fusion for Tracking Over Long-Haul Links. United States. doi:https://doi.org/10.1109/ACCESS.2019.2900803
Liu, Qiang, and Rao, Nageswara S. V. Tue . "Projection-Based Constrained State Estimation and Fusion for Tracking Over Long-Haul Links". United States. doi:https://doi.org/10.1109/ACCESS.2019.2900803.
@article{osti_1501716,
title = {Projection-Based Constrained State Estimation and Fusion for Tracking Over Long-Haul Links},
author = {Liu, Qiang and Rao, Nageswara S. V.},
abstractNote = {In many mission-critical systems, a number of sensors are deployed to track ground targets with linear or nonlinear constraints on their motion dynamics. These sensors generate state estimates to be sent over long-haul links to a remote fusion center. We propose closed-form projection-based methods to incorporate known constraints into the estimation and fusion process. The extensive performance evaluation results demonstrate the extent to which projection-based fusion can improve the overall tracking accuracy performance in the presence of communication loss and delay.},
doi = {10.1109/ACCESS.2019.2900803},
journal = {IEEE Access},
number = ,
volume = 7,
place = {United States},
year = {2019},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: https://doi.org/10.1109/ACCESS.2019.2900803

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